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2023 | OriginalPaper | Chapter

Development of Driving Intelligence Validation Platform (DIVP®) for ADS Safety Assurance

Authors : Seigo Kuzumaki, Hideo Inoue

Published in: Road Vehicle Automation 9

Publisher: Springer International Publishing

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Abstract

SIP, or Cross-ministerial Strategic Innovation Promotion Program is a 5 year R&D program led by the Japan government. SIP-adus, or automated driving system for universal service aims to realize automated driving systems (ADS) with Government-Industry-Academia cooperation. SIP-adus focuses on cooperative R&D themes such as Dynamic Map, Safety assurance, Cybersecurity, and so on. Safety assurance is quite important for spread of ADS. A collaborative consortium was established for the development of Driving Intelligence Validation Platform (DIVP®) [1] for Automated Driving Safety Assurance. This research project is developing an assessment platform using simulators to create a virtual model by adopting a series of models consisting of driving environments, spatial propagation, and sensors that are highly consistent with the actual phenomena required to assess the safety of automated driving. The goal and current status of DIVP® activity is explained in this report.

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Literature
1.
go back to reference Inoue, H.: Development of driving intelligence validation platform (DIVP®) for automated driving safety assurance. In: SIP 2nd Phase Automated Driving for Universal Services Mid-Term Results Report (2018–2020), 3rd chapter, pp. 89–94 (2021) Inoue, H.: Development of driving intelligence validation platform (DIVP®) for automated driving safety assurance. In: SIP 2nd Phase Automated Driving for Universal Services Mid-Term Results Report (2018–2020), 3rd chapter, pp. 89–94 (2021)
2.
go back to reference Suganuma, N., et. al.: Research on the recognition technology required for automated driving technology (Level 3 and 4). In: SIP 2nd Phase Automated Driving for Universal Services Mid-Term Results Report (2018–2020), 3rd chapter, pp. 79–85 (2021) Suganuma, N., et. al.: Research on the recognition technology required for automated driving technology (Level 3 and 4). In: SIP 2nd Phase Automated Driving for Universal Services Mid-Term Results Report (2018–2020), 3rd chapter, pp. 79–85 (2021)
Metadata
Title
Development of Driving Intelligence Validation Platform (DIVP®) for ADS Safety Assurance
Authors
Seigo Kuzumaki
Hideo Inoue
Copyright Year
2023
DOI
https://doi.org/10.1007/978-3-031-11112-9_2

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